Main Page
Welcome to Leeroopedia
Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
Connect your AI coding agent. Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously:
- SuperML plugin — converts your AI coding agent into an expert ML engineer with agentic memory
- Leeroopedia MCP — search over best-practices and skills of ML/AI
- Kapso — experimentation platform for autonomous AI/ML software building
Browse by Category
| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
Explore Pages
Workflows
- Workflow:DataExpert io Data engineer handbook Dimensional Data Modeling Environment Setup
- Workflow:Openclaw Openclaw Docker Deployment
- Workflow:Openai Openai python Embeddings Generation
- Workflow:Tensorflow Tfjs GPT2 Text Generation
- Workflow:Teamcapybara Capybara RSpec Integration Setup
- Workflow:Google deepmind Dm control Manipulation Task Setup
- Workflow:Openai Openai node Streaming To Client
- Workflow:DevExpress Testcafe Programmatic Test Execution
- Workflow:Apache Dolphinscheduler Datasource Connection Management
- Workflow:Langgenius Dify Knowledge Base Management
Principles
- Principle:Isaac sim IsaacGymEnvs Factory Scene Initialization
- Principle:ARISE Initiative Robosuite Texture Randomization
- Principle:Online ml River Horizon Metric
- Principle:Heibaiying BigData Notes Hive Database Creation
- Principle:Mlfoundations Open flamingo Distributed Result Aggregation
- Principle:Pyro ppl Pyro JIT Compilation
- Principle:Kubeflow Pipelines Model Evaluation Metrics
- Principle:Teamcapybara Capybara Page Navigation
- Principle:Zai org CogVideo Image Conditioning Preparation
- Principle:Ollama Ollama GGUF Assembly
Implementations
- Implementation:Confident ai Deepeval ConfidentInstrumentationSettings
- Implementation:Infiniflow Ragflow Common Util
- Implementation:Microsoft Autogen Studio MCP WSBridge
- Implementation:Ucbepic Docetl Directive DocCompression
- Implementation:Scikit learn Scikit learn SelfTrainingClassifier
- Implementation:Mlc ai Mlc llm Dispatch KV Cache Creation
- Implementation:Apache Airflow Logger Protocol
- Implementation:Datajuicer Data juicer File Utils
- Implementation:Ggml org Llama cpp Arch Header
- Implementation:Duckdb Duckdb Make Unit Test Targets
Heuristics
- Heuristic:FlagOpen FlagEmbedding Warning Deprecated Search Demo
- Heuristic:Arize ai Phoenix Queue Clear Race Condition
- Heuristic:Obss Sahi Warning Deprecated Legacy NMS
- Heuristic:Haifengl Smile Platform Native Library Selection
- Heuristic:Pyro ppl Pyro Enumeration Plate Nesting
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:ArroyoSystems Arroyo Stateful Operator TTL
- Heuristic:Allenai Open instruct GPU Memory Utilization
- Heuristic:LLMBook zh LLMBook zh github io Greedy Decoding Temperature Zero
- Heuristic:Googleapis Python genai AFC Max Remote Calls Limit
Environments
- Environment:Dotnet Machinelearning OneDal Acceleration
- Environment:Vllm project Vllm Environment Variables
- Environment:Deepspeedai DeepSpeed NVMe Environment
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration
- Environment:Princeton nlp SimPO CUDA Training
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Intel Ipex llm RAG LangChain Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib
- Environment:Ggml org Ggml CUDA GPU Environment
- Environment:Mit han lab Llm awq Python Runtime Environment